Staff Data Scientist, AI/ML

In this role, you will lead the design, development, and optimization of advanced machine learning and AI systems that power healthcare-focused products and analytics.

• Leverage large-scale, complex healthcare datasets to build, tune, and evaluate machine learning models and AI-driven product features
• Design and run statistical experiments, including A/B testing, exploratory data analysis, and model performance evaluation frameworks
• Develop and fine-tune modern deep learning and LLM-based systems, including approaches such as supervised fine-tuning and preference optimization methods
• Build scalable ML pipelines using distributed computing frameworks and ensure models are production-ready and reliable
• Collaborate with product, engineering, and analytics teams to define data science initiatives from ingestion through deployment and insights generation
• Create clear, compelling data visualizations and narratives to communicate complex findings to technical and non-technical stakeholders
• Contribute to strategic direction for AI/ML initiatives, helping shape roadmap priorities and long-term data science vision

Requirements:

The ideal candidate brings deep expertise in machine learning, strong engineering skills, and experience working with large-scale data in production environments.

• 5+ years of professional experience in Data Science, Machine Learning Engineering, or related roles handling complex, high-volume datasets
• Strong foundation in statistical methods, including experimental design, probability, and exploratory data analysis
• Deep expertise in modern ML techniques, including deep learning architectures and LLM training/fine-tuning approaches (e.g., SFT, DPO, RFT)
• Proven experience building and deploying large-scale models using frameworks such as PyTorch or TensorFlow
• Advanced SQL skills with ability to write and optimize complex queries across relational data systems
• Strong Python proficiency, including object-oriented programming and production-grade ML/data science code development
• Experience with distributed data processing systems and scalable model training pipelines
• Excellent communication and storytelling skills, with ability to translate technical insights into actionable business recommendations
• Strong intellectual curiosity, adaptability, and passion for continuous learning in fast-evolving ML/AI fields

Benefits:

• 💰 Competitive total compensation ranging from $170,000 – $248,000 (salary + equity) depending on experience and qualifications
• 📈 Equity package enabling participation in company growth and long-term success
• 🏥 Comprehensive medical, dental, and vision coverage for employees and families
• 🧑‍💻 401(k) with employer matching
• 👨‍👩‍👧 Family benefits including parental leave, childcare support, and family planning resources
• 🏖️ Generous paid time off, holidays, and wellness-focused benefits
• 💼 Employee stock purchase plan
• 🌍 Flexible, remote-friendly work environment with a strong distributed team culture
• ✨ Additional wellness, learning, and lifestyle perks supporting professional and personal growth.